Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Point at visible targets in an agent-built interface, and deliver grounded Annotations.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"visual-intent-layer": {
"command": "npx",
"args": [
"-y",
"visual-intent-layer"
]
}
}
}在终端中运行这条命令
claude mcp add visual-intent-layer -- npx -y visual-intent-layer粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"visual-intent-layer": {
"command": "npx",
"args": [
"-y",
"visual-intent-layer"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"visual-intent-layer": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"visual-intent-layer"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 willa-code 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.4.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, AvaHR
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Point at a browser-rendered interface, describe what should change, and let an agent work from that precise visual context. Visual Intent Layer is a local MCP server and Review Surface for saved HTML documents and local web apps.
hello world! this project is a testbed for me to experience new/random/trending stuff! fyi on what i was testing:
Mobile builds, native windows, design files, and PDFs are outside the supported surface.
No hosted account or Rust toolchain is required.
Register the local stdio server with your agent, then restart the agent:
{
"mcpServers": { "visual-intent-layer": { "command": "npx", "args": ["-y", "--package", "visual-intent-layer@latest", "visual-intent-mcp"] } } }
The server must run on the machine where you look at the screen. It launches a browser there and binds a loopback port. A server in a container, on a remote host, or inside a cloud agent cannot display that machine's Review Surface.
Registry-aware clients can also find the server as io.github.willa-code/visual-intent-layer in the official MCP Registry, which lists where to get it rather than hosting it.
Claude Code
claude mcp add visual-intent-layer -- npx -y --package visual-intent-layer@latest visual-intent-mcp
Codex
codex mcp add visual-intent-layer -- npx -y --package visual-intent-layer@latest visual-intent-mcp
opencode
Run opencode mcp add visual-intent-layer, then provide npx and the package arguments when prompted:
-y --package visual-intent-layer@latest visual-intent-mcp
pi
pi does not ship an MCP client. With pi-mcp-adapter installed, add this to the project's .mcp.json (merge it into an existing mcpServers object):
{
"mcpServers": { "visual-intent-layer": { "command": "npx", "args": ["-y", "--package", "visual-intent-layer@latest", "visual-intent-mcp"] } } }
The same entry can be placed in .pi/mcp.json for a project-only Pi override, or ~/.config/mcp/mcp.json for all projects. The adapter's /mcp setup panel can also create the entry.
Other MCP clients
Use the JSON configuration above, or launch a local stdio server with command npx and arguments -y --package visual-intent-layer@latest visual-intent-mcp.
The package also provides a local CLI:
npx -y --package visual-intent-layer@latest visual-intent open --html ./checkout.html
npx -y --package visual-intent-layer@latest visual-intent open --app http://localhost:5173
Each command opens the default browser and prints the review URL. Add --no-open for headless or scripted use. To run only the local service:
npx -y --package visual-intent-layer@latest visual-intent serve --port 3742
The visual-intent command is also available after npm install -g visual-intent-layer.
The server writes review data to ~/.visual-intent-layer/data by default. It does not write agent configuration. Uninstalling the package does not delete reviews; remove that data directory only when you want to remove them.
Set VISUAL_INTENT_DATA_DIR to choose another data directory. Set VISUAL_INTENT_NO_OPEN=1 to suppress automatic browser opening.
@latest is resolved when npx fetches the package, so there is usually nothing to update by hand. pi-mcp-adapter caches the resolved command for 24 hours; delete ~/.pi/agent/mcp-npx-cache.json to force a fresh fetch. Replace @latest with an exact version in the entry to hold a version still, and update a global install with npm install -g visual-intent-layer@latest.
To uninstall, remove the entry with the mechanism you added it with — claude mcp remove visual-intent-layer, codex mcp remove visual-intent-layer, or by editing your client's configuration. docs/guide.md names the file for each client. Uninstalling deletes none of your reviews: they stay in the data directory until you remove it.
docs/guide.md — product manual, Review Surface, Annotation model, MCP tools, data, schema, development, and layout.design.md — normative Review Surface design contract.docs/design-references.md — component references and verification notes.docs/reference-foundations.md — comparison of candidate reference foundations.SECURITY.md — threat model, supported versions, and disclosure process.docs/adr/ — architectural decisions.docs/pi-validation.md — live Pi validation checklist.Apache-2.0.